Award Data

Generalized change detection is a critical capability to mitigate the need for massive human inspection of the rapidly expanding volume ofglobal overhead satellite imagery. Current optical change detection approaches focus on fully specified systems to detect a predefined set ofchanges, and effective approaches for generalized change detection have not yet been demonstrated. We propose to build a ...

Deep Learning Analytics (DLA) will develop the Deep-False Alarm Suppression Technique (D-FAST) algorithm that uses state of the art and

Ground vehicles with navigation capability (e.g., GPS) can index into foundation data (e.g., Google Maps) to gain situational awareness abouttheir surroundings. When GPS and RF navigation sources are degraded, maintaining situational awareness requires an alternative navigationsource. One alternative source is the foundation data itself. The data contain objects at known 3D locations, which projec ...

This SBIR Phase I project proposes a probabilistic approach to determine a vehicles location using onboard video sensors and foundationalmap data. The system does not rely on only one type of information source, instead it combines proposals from a variety of locationestimators to find a vehicles location in GPS-denied environments.The system takes advantage of recent advancements in computer visi ...

Drug overdose is now the leading cause of death for Americans under 50 years old, with fentanyl claiming more lives than any other drug.Alarmingly, the problem is increasing, with fentanyl overdoses claiming nearly twice as many lives in 2016 compared to 2015.In addition to users, first responders are at risk for coming into contact with fentanyl as they perform their duties.Fentanyl is extremely ...

To address the supply chain threats that stem from vulnerable or malicious software distributed through firmware on mobile and IoT devices via binary firmware images, we propose a scalable, comprehensive, and automated framework to detect firmware-borne threats, both malicious and (un)intentionally insecure, present in Android and iOS devices. We use a workflow encompassing three analysis techniqu ...

A Phase I SBIR is proposed for the development of a wearable sensor to protect law enforcement and first responders from inadvertent exposure to potentially toxic levels of fentanyl and/or fentanyl analogs.The Phase I project will demonstrate the ability of the new sensor to selectively detect the presence of fentanyl analog vapors from solid samples or air-borne particulates in concentrations bel ...

Nano Terra proposes to develop a low-cost and wearable detector badge that quickly and selec-tively alerts the user to the presence of solid fentanyl aerosols with an audible and visual alert. Current commercial fentanyl and opioid detectors are bulky and costly and have unsuitably-high limits of detection. Nano Terra will leverage their expertise in ultra-sensitive dosimetric detection of threat ...

In this Phase I project, we will determine the feasibility of building an interworking solution to provide interoperability between LTE and LMR systems for mission critical operations, while improving interoperability between current LMR systems.InPhase I we will build upon the requirements work already done by NPSTC to determine the feasibility of meeting requirements for interworking when standa ...

Traditionally, implementation of dedicated, continuous nuclear and radiological monitoring systems for identifying and tracking nuclear materials out of regulatory control is associated with high operational burdens. Although video and images from cameras are helpful in assessing threats, the raw, unstructured data require time-intensive human interaction to extract the relevant actionable informa ...